Deeply immersed in the IT world, exploring with passion and gaining insights. Actively investing in blockchain ventures at the very nexus of Web3 innovations.
Сейчас в интернете люди привыкли думать, что для крутого результата в жизни нужен какой-то невероятный рывок: уволиться за один день, начать новую жизнь с понедельника или в одночасье изменить всё.
Но в реальности изменения так не работают. Они выжигают.
❗️Мне очень нравится одна штука - сложный процент называется. Вот как он рабортает: если каждый день становиться лучше, продуктивнее или осознаннее всего на 1%, то за год ты вырастаешь не на 365%, а в 37 раз. ЧТО ЗА ЦИФРЫ?))))
И наоборот: если каждый день забивать и спускать на 1%, за год ты скатываешься практически к нулю.
🔴Это работает абсолютно во всём: • В теле: 15 минут зарядки ежедневно дают больше, чем одна безумная тренировка раз в месяц. • В доходах: ежедневный поиск новых знаний за год делает из тебя другого специалиста. • В мышлении: привычка уделять хотя бы 20 минут в день своему развитию полностью меняет восприятие мира.
Большинство людей переоценивают то, что могут сделать за день, и катастрофически недооценивают то, чего могут достичь за год регулярных действий.
Завтра возвращаемся в рынок забирать свое! Помните про 1% братцы💸💸💸
Tether for the first time in nearly 9 years underwent a full audit of its reserves—performed by KPMG from the “Big Four.”
The company’s 2025 reporting received an unqualified, no-exceptions opinion, and its reserves exceed its obligations by approximately $6.8 billion.
The auditors checked assets, liabilities, cash flows, counterparties, and even physically recounted its gold bars.
For Tether, this is an important milestone, because the main question the company has been criticized over since 2017 has finally been answered with an independent verification.
In essence, this is no longer just AI chat—it’s a full-fledged agent: you give it a task, and it goes out to the internet, finds information, works with websites, fills out forms, writes code, and brings the process to a result. Plus, there’s integration with Cursor.
The most interesting part is autonomy. Not “here’s an instruction—do it yourself,” but literally: you set the task → go do your own things → come back to a finished result.
I’m still testing further, but potentially this could be one of the strongest AI tools of 2026.
The Law of Accumulated Potential. Why your past experience isn’t a failure, but a foundation
Brothers, have you ever had thoughts that for others everything comes easy and fast? Then all of a sudden, out of nowhere, someone did something— and now he’s already bought an M4 and is flashing Rolexes in his stories.
But let’s look at what’s left behind the scenes:
• Joanne Rowling got 12 rejections from publishing houses. They told her that her book about a boy with a scar wasn’t interesting to anyone. • Michael Jordan didn’t make the school basketball team. Because of “a lack of talent and height.” • Steven Spielberg failed to get into film school three times. • Steve Jobs, at 30, was disgracefully fired from his own company.
Were those years a failure for them? No. It was a process of accumulating potential.
I’m not a scientist, but I did study physics at school. There’s such a concept as “potential energy.” You compress a spring for a long, long time. Externally nothing happens; from the outside it looks like you’re just standing still. But inside the spring, colossal force builds up. And when it’s released— there’s an EXPLOSION 💣
👉That’s exactly how it works in trading.
Trading isn’t a lottery ticket and it’s not a story about “getting rich in 24 hours.” It’s a long game.
A newcomer enters the market, makes a couple of mistakes, gets their first stop-out, and gives up. But they don’t understand that every trade, every risk management that’s followed, and even every controlled stop—that’s compressing that very spring. Do you get what I mean?))
All these actions lead you to accumulating experience, training discipline, and understanding algorithms.
❗️So you don’t need to chase millions of “right here, right now.” The main task at the start is to take your first step, get into the system, and give yourself time to build that potential.
A month will pass, two, half a year—and you won’t even notice how quantity turns into quality. Your trades will become systematic, and profit will become a natural and familiar result.
Brothers, it seems to me this post turned out super motivating. Give reactions if it was useful 💪💪💪
🤖 SpaceXAI and Cursor launched Grok Bot — an AI agent with its own cloud computer that opens websites, logs into accounts, and completes tasks on its own.
☠️ Cybersecurity researchers found vulnerabilities in the Claude, Gemini, and ChatGPT APIs that allowed extracting the models’ internal reasoning before the final answer filter kicks in—these data contained prohibited scenarios and attempts to “fit” the explanation to an already selected response.
In addition, among 315,000 collected reasoning blocks, they found 367 fragments of personal data and 182 instances of passwords, API keys, and other credentials—these vulnerabilities were already reported to OpenAI, Anthropic, and Google.
⌨️ More and more developers stop reading generated AI code—modern AI agents already write it well enough. It’s more useful to verify the work of the entire system than to tinker with style and details.
The developer’s role is gradually shifting from writing code to architecture, control, and result verification.
In July, spending volume on crypto cards (in stablecoins) for the first time surpassed $1 billion—up 200% year over year. This is 10+ million purchases per month, with an average ticket of ≈ $86. These are real everyday expenses.
For comparison, three years ago the monthly volume was less than $1 million. Wild growth rates, and judging by everything, the trend has only just started to accelerate.
Interestingly, a whole list of beneficiary tickers of this global trend is still lagging behind. But for now.
«Prices for laboratory monkeys in China, as reported, have reportedly surged to about $26 thousand each due to a biotechnology boom». If you’d taken lab monkeys a week ago, you would have outperformed holders—well, you get it.»
🤖 An FBI agent stole $1,000,000 in cryptocurrency from the accounts of a suspect in the case, and then asked ChatGPT where to invest the money and how to move to Europe.
In the end, he was fired from the FBI and arrested—investigators traced him through digital evidence and correspondence with AI.